debug-ml-iclr2019.github.io - Overview | Debugging Machine Learning Models

Description: ICLR 2019 workshop, May 6, 2019, New Orleans9.50am - 6.30pm, Room R03

Example domain paragraphs

Machine learning (ML) models are increasingly being employed to make highly consequential decisions pertaining to employment, bail, parole, and lending. While such models can learn from large amounts of data and are often very scalable, their applicability is limited by certain safety challenges. A key challenge is identifying and correcting systematic patterns of mistakes made by ML models before deploying them in the real world.

The goal of this workshop, held at the 2019 International Conference on Learning Representations (ICLR) , is to bring together researchers and practitioners with different perspectives on debugging ML models.

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Links to debug-ml-iclr2019.github.io (7)